open source bounty - chunhualiao/public-docs GitHub Wiki

tied to my TODO idea 8

  • open bountry systems for new products and services (open source software)

Requirements

  • anyone can start a wish with a dollar amount attached, with specs , deadlines, etc.
    • others can joint by pool in more money
  • developers (individuals or teams) can work on the product and submit open source solutions
  • sponsors will vote and decide which submission get the award

test project

I'm sponsoring a $500 open-source bounty to create a working MVP of an AI-powered interactive resume assistant.

This project should allow users to:

Upload their resume and other content

Auto-generate a dynamic profile in resume format

Enable a chatbot that can answer questions as if it were them

Be deployable as a Hugging Face Space or similar open platform

The goal is to explore a modern, open alternative to static resumes — and share the code so others can build on it.

The best submission (based on functionality, quality, and creativity) will receive a $500 bounty. All serious contributions will be acknowledged. Let’s build something useful together!

which system to use?

For your $500 AI-powered interactive resume assistant bounty, given your criteria —

  • Multiple backers possible (even if you’re the only initial sponsor)
  • Non-crypto USD support (no friction for contributors)
  • One-time contest-style payout to a best submission
  • Public GitHub repo with open-source license
  • Visibility to attract AI/OSS developers

—I’d recommend Polar or Algora, with a slight lean toward Polar for this case.

Why Polar is a good fit for your project // no longer avaiable for this service!!

Pros for your use case:

  • Supports USD via Stripe, no crypto required .
  • Multiple backers can pledge funds on the GitHub issue (if you want to encourage co-sponsorship later) .
  • Low total fees (~8%), so more of your $500 reaches the developer .
  • Open-source platform, which aligns with your "share the code" ethos .
  • Official GitHub funding integration means it appears naturally in the repo’s funding links .
  • Works well for one-off feature builds or MVPs in OSS repos.

Potential limitation: Polar’s default model is “first-come, first-served” for issue completion. For a contest-style bounty (pick the best submission), you’d need to clearly specify in the bounty terms that the payout will go to the best judged PR, not the first merged one. This is doable by marking the bounty as maintainer-approved rather than automatic.

Why Algora is also viable

Pros:

  • Also USD via Stripe (and Alipay for international devs) .
  • Multi-sponsor pooling supported .
  • Tight GitHub issue & PR integration — claim and payout flow is very smooth for devs .
  • Handles tax compliance for payouts , useful if the winner is US-based.

Cons for this project:

  • High fees (~23% total) , so your $500 costs you ~$615.
  • Default flow is also “first valid PR merged” — you’d need to set it up as a maintainer-discretion payout to run a “best submission” contest.

My recommendation

If your priority is low fees + open ethos + co-funding potential, go with Polar. If your priority is maximum automation and compliance handling (especially for corporate-style payouts or many international participants), Algora is a solid choice despite higher fees.

Suggested next steps with Polar

  1. Create a GitHub repo for the project (include the detailed bounty description, judging criteria, and open-source license).

  2. Integrate Polar via their GitHub App and funding.yml.

  3. Post the issue titled “Build MVP: AI-powered interactive resume assistant” with:

    • Requirements (resume upload, profile generation, chatbot, deployable on Hugging Face Space).
    • Tech preferences (if any).
    • Open-source license requirement.
    • Submission deadline and judging process.

  4. Set bounty at $500 USD (plus the ~8% fee budget).

  5. Publicize the bounty via developer communities, Hugging Face forums, AI dev Discords, and your own networks.

If you want, I can draft the exact GitHub issue text + Polar bounty setup so it’s ready to publish. That would make it attractive to both AI builders and open-source contributors.